Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings : a review

Show simple item record

dc.contributor.author Duan, Zhihe
dc.contributor.author Wu, Tonghai
dc.contributor.author Guo, Shuaiwei
dc.contributor.author Shao, Tao
dc.contributor.author Malekian, Reza
dc.contributor.author Li, Zhixiong
dc.date.accessioned 2018-08-06T10:25:42Z
dc.date.issued 2018-04
dc.description.abstract A rolling bearing is an essential component of a rotating mechanical transmission system. Its performance and quality directly affects the life and reliability of machinery. Bearings’ performance and reliability need high requirements because of a more complex and poor working conditions of bearings. A bearing with high reliability reduces equipment operation accidents and equipment maintenance costs and achieves condition-based maintenance. First in this paper, the development of technology of the main individual physical condition monitoring and fault diagnosis of rolling bearings are introduced, then the fault diagnosis technology of multi-sensors information fusion is introduced, and finally, the advantages, disadvantages, and trends developed in the future of the detection main individual physics technology and multi-sensors information fusion technology are summarized. This paper is expected to provide the necessary basis for the follow-up study of the fault diagnosis of rolling bearings and a foundational knowledge for researchers about rolling bearings. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.embargo 2019-04-01
dc.description.librarian hj2018 en_ZA
dc.description.sponsorship The Natural Science Foundation of China (NSFC) (grant numbers: 51675403, 51275381 and 51505475), National Research Foundation, South Africa (grant numbers: IFR160118156967 and RDYR160404161474), and UOW Vice-Chancellor’s Postdoctoral Research Fellowship. en_ZA
dc.description.uri International Journal of Advanced Manufacturing Technology en_ZA
dc.identifier.citation Duan, Z., Wu, T., Guo, S. et al. Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review. International Journal of Advanced Manufacturing Technology (2018) 96: 803-819. https://doi.org/10.1007/s00170-017-1474-8. en_ZA
dc.identifier.issn 0268-3768 (print)
dc.identifier.issn 0268-3768 (print)
dc.identifier.other 10.1007/s00170-017-1474-8
dc.identifier.uri http://hdl.handle.net/2263/66110
dc.language.iso en en_ZA
dc.publisher Springer en_ZA
dc.rights © Springer-Verlag London Ltd., part of Springer Nature 2018. The original publication is available at : http://link.springer.comjournal/170. en_ZA
dc.subject Rolling bearings en_ZA
dc.subject Fault diagnosis en_ZA
dc.subject Detection technology en_ZA
dc.subject Condition monitoring en_ZA
dc.subject Fault detection en_ZA
dc.subject Performance and reliabilities en_ZA
dc.subject Mechanical transmission system en_ZA
dc.subject Information fusion technology en_ZA
dc.subject Equipment maintenance en_ZA
dc.subject Condition based maintenance en_ZA
dc.subject Reliability en_ZA
dc.subject Machinery en_ZA
dc.subject Failure analysis en_ZA
dc.subject Bearings (machine parts) en_ZA
dc.title Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings : a review en_ZA
dc.type Postprint Article en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record